Search Results for author: Shanxin Yuan

Found 16 papers, 5 papers with code

Wavelet-Based Dual-Branch Network for Image Demoiréing

no code implementations ECCV 2020 Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian

When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality.

Image Restoration Rain Removal

Wavelet-Based Network For High Dynamic Range Imaging

no code implementations3 Aug 2021 Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan

The frequency-guided upsampling module reconstructs details from multiple frequency-specific components with rich details.

Optical Flow Estimation

Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs

no code implementations NeurIPS 2020 Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian

In this paper, we propose a self-adaptive learning method for demoiréing a high-frequency image, with the help of an additional defocused moiré-free blur image.

Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs

1 code implementation3 Nov 2020 Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian

In this paper, we propose a self-adaptive learning method for demoireing a high-frequency image, with the help of an additional defocused moire-free blur image.

Video Super-resolution with Temporal Group Attention

1 code implementation CVPR 2020 Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian

Video super-resolution, which aims at producing a high-resolution video from its corresponding low-resolution version, has recently drawn increasing attention.

Video Super-Resolution

Wavelet-Based Dual-Branch Network for Image Demoireing

no code implementations14 Jul 2020 Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian

When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality.

Image Restoration Rain Removal

Image Demoireing with Learnable Bandpass Filters

1 code implementation CVPR 2020 Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis

Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.

 Ranked #1 on Image Enhancement on TIP 2018 (using extra training data)

Fine-tuning Image Enhancement +2

AIM 2019 Challenge on Image Demoireing: Dataset and Study

no code implementations6 Nov 2019 Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis

In addition to describing the dataset and its creation, this paper also reviews the challenge tracks, competition, and results, the latter summarizing the current state-of-the-art on this dataset.

Image Manipulation

RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images

no code implementations18 Nov 2018 Shanxin Yuan, Bjorn Stenger, Tae-Kyun Kim

We explore different ways of using this privileged information: (1) using depth data to initially train a depth-based network, (2) using the features from the depth-based network of the paired depth images to constrain mid-level RGB network weights, and (3) using the foreground mask, obtained from the depth data, to suppress the responses from the background area.

3D Hand Pose Estimation

The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

no code implementations7 Jul 2017 Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, Tae-Kyun Kim

We present the 2017 Hands in the Million Challenge, a public competition designed for the evaluation of the task of 3D hand pose estimation.

3D Hand Pose Estimation

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

1 code implementation CVPR 2018 Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim

Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.

3D Hand Pose Estimation Action Recognition +2

Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation

no code implementations12 Apr 2016 Qi Ye, Shanxin Yuan, Tae-Kyun Kim

In this paper, a hybrid hand pose estimation method is proposed by applying the kinematic hierarchy strategy to the input space (as well as the output space) of the discriminative method by a spatial attention mechanism and to the optimization of the generative method by hierarchical Particle Swarm Optimization (PSO).

Hand Pose Estimation

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